Top Python Data science repositories on GitHub
Notebooks, analysis libraries, and data tooling. Filtered to projects whose primary language is Python.
Ranked by stars across 1,150 Python repositories tagged data-science. Refreshed daily.
- 1scikit-learn/scikit-learn★ 65,990 · ⑂ 26,990
scikit-learn: machine learning in Python
- machine-learning
- python
- statistics
- data-science
- data-analysis
- 2keras-team/keras★ 64,061 · ⑂ 19,765
Deep Learning for humans
- deep-learning
- tensorflow
- neural-networks
- machine-learning
- data-science
- python
- 3Asabeneh/30-Days-Of-Python★ 62,150 · ⑂ 11,817
The 30 Days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than 100 days. Follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
- 30-days-of-python
- python
- flask
- github
- heroku
- matplotlib
- 4pandas-dev/pandas★ 48,682 · ⑂ 19,912
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
- data-analysis
- pandas
- flexible
- alignment
- python
- data-science
- 5apache/airflow★ 45,307 · ⑂ 17,010
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
- airflow
- apache
- apache-airflow
- python
- scheduler
- workflow
- 6streamlit/streamlit★ 44,474 · ⑂ 4,229
Streamlit — A faster way to build and share data apps.
- python
- machine-learning
- data-science
- deep-learning
- data-visualization
- streamlit
- 7gradio-app/gradio★ 42,519 · ⑂ 3,434
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
- machine-learning
- models
- ui
- ui-components
- interface
- python
- 8ray-project/ray★ 42,442 · ⑂ 7,532
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
- ray
- distributed
- parallel
- machine-learning
- reinforcement-learning
- deep-learning
- 9explosion/spaCy★ 33,547 · ⑂ 4,679
💫 Industrial-strength Natural Language Processing (NLP) in Python
- natural-language-processing
- data-science
- machine-learning
- python
- cython
- nlp
- 10eriklindernoren/ML-From-Scratch★ 31,421 · ⑂ 5,265
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
- machine-learning
- deep-learning
- deep-reinforcement-learning
- machine-learning-from-scratch
- data-science
- data-mining
- 11Lightning-AI/pytorch-lightning★ 31,116 · ⑂ 3,720
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
- python
- deep-learning
- artificial-intelligence
- ai
- pytorch
- data-science
- 12donnemartin/data-science-ipython-notebooks★ 29,065 · ⑂ 8,036
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
- python
- machine-learning
- deep-learning
- data-science
- big-data
- aws
- 13d2l-ai/d2l-en★ 28,778 · ⑂ 5,055
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
- deep-learning
- machine-learning
- book
- notebook
- computer-vision
- natural-language-processing
- 14reflex-dev/reflex★ 28,387 · ⑂ 1,714
🕸️ Web apps in pure Python 🐍
- python
- framework
- open-source
- gui
- dashboard
- fullstack
- 15plotly/dash★ 24,151 · ⑂ 2,277
Data Apps & Dashboards for Python. No JavaScript Required.
- dash
- plotly
- data-visualization
- data-science
- gui-framework
- flask
- 16sinaptik-ai/pandas-ai★ 23,510 · ⑂ 2,309
Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.
- llm
- pandas
- ai
- data-analysis
- data-science
- gpt-4
- 17matplotlib/matplotlib★ 22,771 · ⑂ 8,326
matplotlib: plotting with Python
- matplotlib
- data-visualization
- data-science
- python
- qt
- wx
- 18PrefectHQ/prefect★ 22,319 · ⑂ 2,294
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
- python
- workflow
- data-engineering
- data-science
- workflow-engine
- prefect
- 19recommenders-team/recommenders★ 21,670 · ⑂ 3,319
Best Practices on Recommendation Systems
- machine-learning
- recommender
- ranking
- deep-learning
- python
- jupyter-notebook
- 20marimo-team/marimo★ 20,824 · ⑂ 1,070
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.
- notebooks
- python
- data-science
- machine-learning
- artificial-intelligence
- data-visualization
- 21akfamily/akshare★ 18,928 · ⑂ 3,137
AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库
- futures
- financial-data
- data-science
- quant
- fundamental
- akshare
- 22ipython/ipython★ 16,698 · ⑂ 4,473
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
- ipython
- jupyter
- data-science
- notebook
- python
- repl
- 23piskvorky/gensim★ 16,408 · ⑂ 4,412
Topic Modelling for Humans
- gensim
- topic-modeling
- information-retrieval
- machine-learning
- natural-language-processing
- nlp
- 24treeverse/dvc★ 15,582 · ⑂ 1,293
🦉 Data Versioning and ML Experiments
- data-science
- machine-learning
- reproducibility
- data-version-control
- developer-tools
- ai
- 25dagster-io/dagster★ 15,441 · ⑂ 2,113
An orchestration platform for the development, production, and observation of data assets.
- data-pipelines
- dagster
- workflow
- data-science
- workflow-automation
- python
Find Python engineers shipping Data science
The list above ranks the most-starred public Python repositories tagged with the Data science topic, drawn from the public GitHub graph. Across 1,150 matching repositories, the contributors are a tight cluster of engineers with both Python chops and real Data science experience.
That overlap is rare. Most Python engineers haven’t shipped Data science, and most Data science maintainers don’t write Python. The people on this list’s contributor graph are the ones who do both.
Refolk turns this list into a search. Ask for “Python Data science maintainers hiring” or “Python engineers shipping Data science in 2025” and Refolk returns a ranked shortlist with the commits, profiles, and projects behind each name.
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Last refreshed: Thu, 07 May 2026 06:52:14 GMT
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